1 to 25 of 645 Decision-Making Jobs in London

Primary Details Time Type: Full time Worker Type: Employee The purpose of this role is to enhance risk assessment and decision-making processes through the provision of advanced risk modelling analytics. This is achieved through engaging with business stakeholders to define requirements and combining this Accumulation Management expertise

Bank, such as sustainable operations, workplace behaviours, SSA expansion and more. Accountabilities & Responsibilities The role provides timely management information to support decision-making and updates to relevant governance forums, for example the monthly CTO Ops meeting and quarterly CTO leadership meetings. Undertake detailed analysis of performance and risk

data requirements and solutions Ability to develop compelling business cases that demonstrate ROI and value realization Strong understanding of insurance business processes and decision-making (preferred but not required) Demonstrated ability to influence business priorities and drive adoption of data governance practices Leadership & Communication Proven ability to lead

Centre of Excellence (CoE), supporting the design, build, and deployment of data and AI workflows that power intelligent automation and data-driven decision-making across the enterprise. This hands-on position focuses on building scalable data pipelines, integrating AI services, and ensuring data readiness for advanced analytics

actuarial background, skilled at converting complex data into meaningful business insight. You thrive at the intersection of data science, actuarial modelling, and executive decision-making, using analytics to drive measurable value. What you will be doing: Data Science and Analytics Lead the design and delivery of advanced analytical

APIs into reports. Ability to analyse data - with an eye for attention to detail - and communicate your understanding to stakeholders to support with decision making processes. Ability to write concisely, cherry-picking key insights to deliver valuable intelligence. Confidence to work independently and efficiently on projects with business

deliver real impact for communities. What You'll Do You'll be responsible for designing, developing, and maintaining BI solutions that enable effective decision-making and insight across NHG. Working independently and collaboratively, you'll lead the creation of data visualisations and analytical models using Power

generate actionable insights for AI-enabled digital services. Use tools such as Power BI, Python, or R to visualise data and support decision-making across product lifecycles User Research: Conduct qualitative and quantitative research to understand user needs, behaviours and pain points in relation to AI-driven products.

mission-driven organisation? At MSI Reproductive Choices UK , were looking for a Lead Analytics Engineer to shape the future of data-driven decision-making in one of the worlds leading providers of sexual and reproductive healthcare. Hours: Full time, 35 hours per week Contract: Permanent Salary: £58,969.32

KPIs using tools like Power BI, Google Analytics, Looker Studio, etc. Work alongside designers, developers, and user researchers to embed data-driven decision-making Lead GDS performance framework assessments Mentor junior analysts and contribute to internal communities of practice Key Skills & Experience: Strong background in performance analysis

mark and grow your career. The Role: As a Trading Executive at DAZN, you will play a key role in driving data-informed decision-making across our Growth Markets commercial and marketing teams. You will analyse campaign performance, customer behaviour, and market trends to uncover insights that optimise

Dashboards;To extract Data, consolidate and analyse it; Create automation solutions including AI solutions; Quantitative analytics (e.g. offer calculations for claims); Analysis for Decision making; Modelling of quantum exposure; Record Data breach analytics The Data Analytics Manager will focus on building internal client relationships and on the delivery

ROAS, etc.) and how to apply them in practice. Proven ability to use data to inform strategy, measure performance, and guide decision-making through testing, analysis, and benchmarking. Skilled at translating complex analytical insights into clear, actionable recommendations for non-technical stakeholders. Excellent communication and collaboration skills, with

client is a prestigious financial institution located in the heart of London. They specialize in providing innovative financial solutions and analytics to support decision-making processes across various business units. With a commitment to data-driven strategies, they are seeking an Entry-Level Data Analyst to join their

drive User Acceptance Testing (UAT), ensuring full traceability back to requirements Use data analysis and insight to solve complex problems and support decision-making Champion value creation – ensuring every project aligns with strategic goals and delivers tangible benefits Foster strong collaboration across internal teams, third-party vendors

comfort working with LLM and AI technologies Experience in designing and developing metrics that effectively communicate risk and control narratives, enabling data-driven decision-making across the organization Experience with data visualization tools and creating dashboards Solid understanding of risk management principles, control frameworks, and compliance areas Excellent

purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries.

basis.Hybrid working - London based. Role * The Power BI Developer will design, develop, and maintain high-quality dashboards and reports to support data-driven decision making across the business.* Collaborate with stakeholders across merchandising, finance, e-commerce, and operations to gather requirements and translate them into effective BI solutions.

data quality, structure and consistency across CRM systems and marketing platforms Work closely with CRM, marketing and creative teams to embed data driven decision making Coach junior analysts and contribute to best practice in CRM analytics You 5+ years experience in CRM analytics or marketing data analysis, ideally

Creating and presenting dashboards, reports, and narrative-driven recommendations to senior stakeholders Working closely with client teams, strategists, and performance specialists to inform decision-making Bringing a senior analytical mindset to ambiguous client questions and shaping how analytics is leveraged across accounts Skills & Experience Proven experience

Management Studio, ensuring accurate scheduling and workflow efficiency. The role requires the ability to translate technical requirements into impactful visual reporting that informs decision-making and drives programme improvement. What you'll need to succeed Expert in Power Bi Dashboard development and reporting as well as with Business

Experience in change management and impact assessment relating to systems and data. Excellent interpersonal and communication skills, including managing difficult conversations constructively. Confident decision-making based on evidence and analysis. Strong report writing and documentation skills. Effective stakeholder engagement to gather and refine requirements. Solid project management, organisation

These systems leverage emerging technologies like the Industrial Internet of Things (IIoT), AI/ML, and cloud computing to improve efficiency, productivity, and decision-making for manufacturing operations. This role translates business requirements into technical blueprints, manages technology integration, and provides technical leadership throughout a project's lifecycle.

infrastructure change. Acting as the backbone of project delivery, you'll provide comprehensive reporting , financial tracking , and governance oversight to enable timely, informed decision-making by senior leadership. Key Responsibilities: Support delivery and assurance for projects spanning data centres, cloud, network upgrades, workplace technology, and transformation. Maintain high

product, and operations understand player behavior, campaign performance, and platform health. You'll transform raw data into intuitive dashboards and reports that empower decision-making across the business. Mandatory requirements: At least 5 years work experience in the iGaming industry (Social casino; B2C online casino; Sweep stakes; Sportsbook